Ashish Shrivastava
3 papers in the PaperMetrix corpus
Papers by this author
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Divide, Denoise, and Defend against Adversarial Attacks
2018 · arXiv (Cornell University)
Deep neural networks, although shown to be a successful class of machine learning algorithms, are known to be extremely unstable to adversarial perturbations. Improving the robustness of neural networks against these attacks is important, especially …
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NL-Augmenter 🦎 → 🐍 A Framework for Task-Sensitive Natural Language Augmentation
2023 · Northern European Journal of Language Technology
Data augmentation is an important method for evaluating the robustness of and enhancing the diversity of training data for natural language processing (NLP) models. In this paper, we present NL-Augmenter, a new participatory Python-based natural …
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SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors
2023
We present SHIFT3D, a differentiable pipeline for generating 3D shapes that are structurally plausible yet challenging to 3D object detectors. In safety-critical applications like autonomous driving, discovering such novel challenging objects can offer insight into …